Ananda Samajdar

39 total papers · 1.6k total citations
17 papers, 924 citations indexed

About

Ananda Samajdar is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ananda Samajdar has authored 17 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Ananda Samajdar's work include Advanced Memory and Neural Computing (9 papers), Advanced Neural Network Applications (7 papers) and Neural Networks and Applications (4 papers). Ananda Samajdar is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Advanced Neural Network Applications (7 papers) and Neural Networks and Applications (4 papers). Ananda Samajdar collaborates with scholars based in United States, Germany and Canada. Ananda Samajdar's co-authors include Tushar Krishna, Hyoukjun Kwon, Eric Qin, Bharat Kaul, Dipankar Das, Sudarshan Srinivasan, Matthew Mattina, Jan Moritz Joseph, Yuhao Zhu and Paul N. Whatmough and has published in prestigious journals such as ACM SIGPLAN Notices, IEEE Micro and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Ananda Samajdar

16 papers receiving 912 citations

Hit Papers

SIGMA: A Sparse and Irreg... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ananda Samajdar 539 421 360 286 206 17 924
Debbie Marr 480 0.9× 472 1.1× 299 0.8× 351 1.2× 191 0.9× 17 983
Hardik Sharma 516 1.0× 492 1.2× 282 0.8× 363 1.3× 137 0.7× 13 911
Jorge Albericio 662 1.2× 675 1.6× 433 1.2× 413 1.4× 237 1.2× 20 1.2k
Ben Keller 650 1.2× 228 0.5× 381 1.1× 148 0.5× 156 0.8× 28 912
Shengen Yan 330 0.6× 493 1.2× 370 1.0× 252 0.9× 285 1.4× 32 943
Jia Wang 579 1.1× 597 1.4× 275 0.8× 335 1.2× 222 1.1× 15 1.0k
Patrick Judd 671 1.2× 798 1.9× 283 0.8× 479 1.7× 106 0.5× 15 1.1k
Yuwei Hu 230 0.4× 457 1.1× 338 0.9× 336 1.2× 213 1.0× 12 847
Paul N. Whatmough 573 1.1× 294 0.7× 241 0.7× 214 0.7× 150 0.7× 31 872
Ling Liang 768 1.4× 252 0.6× 194 0.5× 526 1.8× 135 0.7× 34 1.1k

Countries citing papers authored by Ananda Samajdar

Since Specialization
Citations

This map shows the geographic impact of Ananda Samajdar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ananda Samajdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ananda Samajdar more than expected).

Fields of papers citing papers by Ananda Samajdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ananda Samajdar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ananda Samajdar. The network helps show where Ananda Samajdar may publish in the future.

Co-authorship network of co-authors of Ananda Samajdar

This figure shows the co-authorship network connecting the top 25 collaborators of Ananda Samajdar. A scholar is included among the top collaborators of Ananda Samajdar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ananda Samajdar. Ananda Samajdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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